A novel evaluation scheme has been proposed to measure how well phonetic encoding algorithms match ground-truth transcriptions in IPA notation. The scheme utilizes a generalized variant of the Rand Index, called the Hüllermeier-Rifqi Index.
The discordance score is calculated by the absolute difference between pairwise similarity values of the transcriptions and their phonetic encodings. Similarity is measured using normalized edit distance, which is permutation dependent. The score is then adjusted relative to a random string generator with the same alphabet.
This evaluation was applied to a range of phonetic encoders on multilingual transcription datasets. It also considers recall capabilities based on collision rates. The scheme's validity extends to measuring the orthographic transparency of languages, viewing writing systems as phonetic representations.
This approach provides a quantitative method for assessing phonetic encoding quality and language orthography transparency, relevant for engineers developing or deploying phonetic models.
Source: https://arxiv.org/abs/2609.04391